Skip to search formSkip to main contentSkip to account menu
Network theory and SARS: predicting outbreak diversity
View on Elsevier
Serial Interval of COVID-19 among Publicly Reported Confirmed Cases
TLDR
This work estimates the distribution of serial intervals for 468 confirmed cases of coronavirus disease reported in China as of February 8, 2020 and finds that 12.6% of case reports indicated presymptomatic transmission.
View PDF
When individual behaviour matters: homogeneous and network models in epidemiology
TLDR
The homogeneous-mixing compartmental model is appropriate when host populations are nearly homogeneous, and can be modified effectively for a few classes of non-homogeneous networks, and in general, network models are more intuitive and accurate for predicting disease spread through heterogeneous host populations.
View on Royal Society
PERSPECTIVE:EVOLUTION AND DETECTION OF GENETIC ROBUSTNESS
TLDR
This work focuses on the first kind of robustness—genetic robustness)—and survey three growing avenues of research: measuring genetic robustness in nature and in the laboratory; understanding the evolution of genetic robusts; and exploring the implications of genetic resilientness for future evolution.
View on BioOne
Projecting hospital utilization during the COVID-19 outbreaks in the United States
TLDR
It is highlighted that the growing coronavirus disease 2019 (COVID-19) outbreak in the United States could gravely challenge the critical care capacity, thereby exacerbating case fatality rates, and policies that encourage self-isolation may delay the epidemic peak, giving a window of time that could facilitate emergency mobilization to expand hospital capacity.
View on Publisher
Contact network epidemiology: Bond percolation applied to infectious disease prediction and control
TLDR
This work will provide a brief overview of compartmental models, the dominant framework for modeling disease transmission, and then contact network epidemiology, a more powerful approach that applies bond percolation on random graphs to model the spread of infectious disease through heterogeneous populations.
View via Publisher
The Ascent of the Abundant: How Mutational Networks Constrain Evolution
TLDR
It is found that phenotype abundance—the number of genotypes producing a particular phenotype—varies in a predictable manner and critically influences evolutionary dynamics, which supports an “ascent of the abundant” hypothesis, in which evolution yields abundant phenotypes even when they are not the most fit.
View PDF
Impact of international travel and border control measures on the global spread of the novel 2019 coronavirus outbreak
TLDR
The results show that these measures likely slowed the rate of exportation from mainland China to other countries, but are insufficient to contain the global spread of COVID-19, and suggest that rapid contact tracing is essential both within the epicenter and at importation sites to limit human-to-human transmission outside of mainland China.
View on Publisher
Quasispecies Made Simple
TLDR
It is argued that the lethal mutagenesis of a viral infection by mutation-inducing drugs is not a true error catastophe, but is an extinction catastrophe, because an error threshold is distinct from an extinction threshold, which is the complete loss of the population through lethal mutations.
View on PubMed
The serial interval of COVID-19 from publicly reported confirmed cases
TLDR
Analysis of serial intervals of 468 infector-infectee pairs with confirmed COVID-19 cases reported by health departments in 18 Chinese provinces between January 21, 2020, and February 8, 2020 finds 12.6% of reports indicating pre-symptomatic transmission.
View on PubMed
...
...
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License